Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Schrödingerization for quantum linear systems problems with near-optimal dependence on matrix queries
Yin Yang, Yue Yu, Long Zhang·Aug 19, 2025
We develop a quantum algorithm for linear algebraic equations $ A\bb{x} = \bb{b} $ from the perspective of Schrödingerization-form problems, which are characterized by a system of linear convection equations in one higher dimension. When $ A $ is pos...
Quantum algorithms to detect ODMR-active defects for quantum sensing applications
Pablo A. M. Casares, Yanbing Zhou, Utkarsh Azad +6 more·Aug 18, 2025
Spin defects in two-dimensional materials are a promising platform for quantum sensing. Simulating the defect's optical response and optically detected magnetic resonance (ODMR) contrast is key to identifying suitable candidates. However, existing si...
SimQFL: A Quantum Federated Learning Simulator with Real-Time Visualization
Ratun Rahman, Atit Pokharel, Md Raihan Uddin +1 more·Aug 17, 2025
Quantum federated learning (QFL) is an emerging field that has the potential to revolutionize computation by taking advantage of quantum physics concepts in a distributed machine learning (ML) environment. However, the majority of available quantum s...
The Evolution of IBM's Quantum Information Software Kit (Qiskit): A Review of its Applications
Param Pathak, K. Tarakeshwar, Syed Sufiyan Ali +2 more·Aug 17, 2025
Quantum computing is being increasingly adopted for solving classically intractable problems across various domains. However, the availability of accessible and scalable software frameworks remains essential for practical experimentation and adoption...
Trotter Simulation of Vibrational Hamiltonians on a Quantum Computer.
Shreyas Malpathak, Sangeeth Das Kallullathil, Ignacio Loaiza +3 more·Aug 16, 2025
Simulating vibrational dynamics is essential for understanding molecular structure, unlocking useful applications such as vibrational spectroscopy for high-fidelity chemical detection. Quantum algorithms for vibrational dynamics are emerging as a pro...
Parallel Data Processing in Quantum Machine Learning
Mehdi Ramezani, Sina Asadiyan Zargar, A. Bahrampour +2 more·Aug 16, 2025
We propose a Quantum Machine Learning (QML) framework that leverages quantum parallelism to process entire training datasets in a single quantum operation, addressing the computational bottleneck of sequential data processing in both classical and qu...
One, Two, Three: One Empirical Evaluation of a Two-Copy Shadow Tomography Scheme with Triple Efficiency
Viet T. Tran, R. Kueng·Aug 15, 2025
Shadow tomography protocols have recently emerged as powerful tools for efficient quantum state learning, aiming to reconstruct expectation values of observables with considerably fewer resources than traditional quantum state tomography. For the par...
Quantum Simulation of Collective Neutrino Oscillations in Dense Neutrino Environment
Shvetaank Tripathi, Sandeep Joshi, G. Rajpoot +1 more·Aug 15, 2025
Inside dense neutrino gases, such as neutron star mergers or core-collapse supernovae, collective neutrino effects cause the transformation of one neutrino flavour into another. Due to strong neutrino self-interactions in these environments, there is...
Magic tricycles: Efficient magic state generation with finite block-length quantum LDPC codes
Varun Menon, J. P. Bonilla-Ataides, Rohan K. Mehta +3 more·Aug 14, 2025
The preparation of high-fidelity non-Clifford (magic) states is an essential subroutine for universal quantum computation, but imposes substantial space-time overhead. Magic state factories based on high rate and distance quantum low-density parity c...
Reliable high-accuracy error mitigation for utility-scale quantum circuits
Dorit Aharonov, Ori Alberton, Itai Arad +36 more·Aug 14, 2025
Error mitigation is essential for unlocking the full potential of quantum algorithms and accelerating the timeline toward quantum advantage. As quantum hardware progresses to push the boundaries of classical simulation, efficient and robust error mit...
Decoded quantum interferometry under noise
Kaifeng Bu, Weichen Gu, Dax Enshan Koh +1 more·Aug 14, 2025
Decoded quantum interferometry (DQI) is a recently proposed quantum optimization algorithm that exploits sparsity in the Fourier spectrum of objective functions, with the potential for exponential speedups over classical algorithms on suitably struct...
Quantum Wavefront Correction Via Machine Learning for Satellite‐to‐Earth CV‐QKD
Nathan K. Long, Ziqing Wang, B. Dix-Matthews +4 more·Aug 14, 2025
State‐of‐the‐art free‐space continuous‐variable quantum key distribution (CV‐QKD) protocols use phase reference pulses to modulate the wavefront of a real local oscillator at the receiver, thereby compensating for wavefront distortions caused by atmo...
Simulating Mass-Dependent Decoherence in Quantum Computers: Baseline Signatures for Testing Gravity-Induced Collapse
V. Balaji, Samuel Punch·Aug 14, 2025
We present a quantum computing simulation study of mass-dependent decoherence models inspired by Penrose's gravity-induced collapse hypothesis. According to objective reduction (OR) theory, quantum superpositions become unstable when the gravitationa...
Majorana braiding simulations with projective measurements
Philipp Frey, Themba Hodge, Eric Mascot +1 more·Aug 13, 2025
We summarize the key ingredients required for universal topological quantum computation using Majorana zero modes in networks of topological superconductor nanowires. Particular emphasis is placed on the use of both sparse and dense logical qubit enc...
Quantum circuit simulation with a local time-dependent variational principle
Aaron Sander, Maximilian Frohlich, Mazen Ali +6 more·Aug 13, 2025
Classical simulations of quantum circuits are vital for assessing potential quantum advantage and benchmarking devices, yet they require sophisticated methods to avoid the exponential growth of resources. Tensor network approaches, in particular matr...
Projective Measurements: Topological Quantum Computing with an Arbitrary Number of Qubits
Themba Hodge, Philipp Frey, Stephan Rachel·Aug 13, 2025
Topological quantum computing promises intrinsic fault tolerance by encoding quantum information in non-Abelian anyons, where quantum gates are implemented via braiding. While braiding operations are robust against local perturbations, a critical yet...
Extended parameter shift rules with minimal derivative variance for parameterized quantum circuits
Zhijian Lai, Jiang Hu, Dong An +1 more·Aug 12, 2025
Parameter shift rules (PSRs) are useful methods for computing arbitrary-order derivatives of the cost function in parameterized quantum circuits. The basic idea of PSRs is to evaluate the cost function at different parameter shifts, then use specific...
Robust quantum computational advantage with programmable 3050-photon Gaussian boson sampling
Hua-Liang Liu, Hao-Ru Su, Si-Qiu Gong +34 more·Aug 12, 2025
The creation of large-scale, high-fidelity quantum computers is not only a fundamental scientific endeavour in itself, but also provides increasingly robust proofs of quantum computational advantage (QCA) in the presence of unavoidable noise and the ...
Scalable Fluxonium-Transmon Architecture for Error Corrected Quantum Processors
Lukas Heunisch, Longxiang Huang, Stephan Tasler +8 more·Aug 12, 2025
We propose a hybrid quantum computing architecture composed of alternating fluxonium and transmon qubits, that are coupled via transmon tunable couplers. We show that this system offers excellent scaling properties, characterized by engineered zero $...
Color it, Code it, Cancel it: k-local dynamical decoupling from classical additive codes
Minh T. P. Nguyen, Maximilian Rimbach-Russ, Stefano Bosco·Aug 11, 2025
Dynamical decoupling is a central technique in quantum computing for actively suppressing decoherence and systematic imperfections through sequences of single-qubit operations. Conventional sequences typically aim to completely freeze system dynamics...